Networked graphs: a declarative mechanism for sparql rules, sparql views and rdf data integration on the web

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Networked graphs: a declarative mechanism for sparql rules, sparql views and rdf data integration on the web (2008)

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by Simon Schenk , Steffen Staab

Venue:	In WWW ’08: Proceeding of the 17th international conference on World Wide Web
Citations:	47 - 6 self

BibTeX

@INPROCEEDINGS{Schenk08networkedgraphs:,
    author = {Simon Schenk and Steffen Staab},
    title = {Networked graphs: a declarative mechanism for sparql rules, sparql views and rdf data integration on the web},
    booktitle = {In WWW ’08: Proceeding of the 17th international conference on World Wide Web},
    year = {2008},
    pages = {585--594},
    publisher = {ACM}
}

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Abstract

Easy reuse and integration of declaratively described information in a distributed setting is one of the main motivations for building the Semantic Web. Despite of this claim, reuse and recombination of RDF data today is mostly done using data replication and procedural code. A simple declarative mechanism for reusing and combining RDF data would help users to generate content for the semantic web. Having such a mechanism, the Semantic Web could better benefit from user generated content, as it is broadly present in the so called Web 2.0, but also from better linkage of existing content. We propose Networked Graphs, which allow users to define RDF graphs both, by extensionally listing content, but also by using views on other graphs. These views can be used to include parts of other graphs, to transform data before including it and to denote rules. The relationships between graphs are described declaratively using SPARQL queries and an extension of the SPARQL semantics. Networked Graphs are easily exchangeable between and interpretable on different computers. Using existing protocols, Networked Graphss can be evaluated in a distributed setting. Categories and Subject Descriptors

Keyphrases

sparql view sparql rule semantic web declarative mechanism data integration distributed setting rdf data networked graph easy reuse sparql semantics rdf data today sparql query subject descriptor data replication called web main motivation simple declarative mechanism procedural code different computer

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